Curriculum
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Data Analysis- Beginner (Demo Class avai...
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Curriculum
Data Analysis- Beginner (Demo Class available)
Module 1: Introduction to Data Analysis
0/6
Chapter 1 : Overview of Data Analysis, Types of Data, Data Sources
45 Minutes
Preview
Chapter 2 : Basic Data Types and Structures: Numeric, Categorical, Time-Series, etc.
45 Minutes
Chapter 3 : Data Collection Methods: Surveys, Web Scraping, APIs
45 Minutes
Chapter 4 : Introduction to Data Cleaning: Missing Data, Outliers, Formatting Issues
45 Minutes
Chapter 5 : Introduction to Excel for Data Analysis: Functions, Formulas, Pivot Tables
45 Minutes
Module 1 Quiz : Data Analysis Fundamentals
7 questions
Module 2: Exploratory Data Analysis (EDA)
0/6
Chapter 1 : Introduction to Descriptive Statistics: Mean, Median, Mode, Range
45 Minutes
Chapter 2 : Visualizing Data: Charts, Histograms, Box Plots, Scatter Plots
45 Minutes
Chapter 3 : Identifying Relationships in Data: Correlation and Causation
45 Minutes
Chapter 4 : Introduction to Data Distributions: Normal, Binomial, Poisson
45 Minutes
Chapter 5 : Basic Hypothesis Testing: T-tests, P-values
45 Minutes
Module 2 Quiz : Exploratory Data Analysis Techniques
7 questions
Module 3: Data Analysis Tools and Techniques
0/6
Chapter 1 : Introduction to Pandas for Data Analysis: DataFrames, Series, and Indexing
45 Minutes
Chapter 2 : Introduction to NumPy for Numerical Computations: Arrays and Mathematical Operations
45 Minutes
Chapter 3 : Introduction to Data Visualization Libraries: Matplotlib and Seaborn
45 Minutes
Chapter 4 : Data Aggregation and Grouping: Summarizing and Analyzing Grouped Data
45 Minutes
Chapter 5 : Creating Basic Reports and Dashboards for Data Presentation
45 Minutes
Module 3 Quiz : Data Analysis Tools and Techniques
7 questions
Text lesson
Chapter 1 : Overview of Data Analysis, Types of Data, Data Sources
Lesson materials
M-1 Chp-1 Data Analysis Fundamentals
938 kb
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